How to Use the AidaForm MCP in OpenAI Agents SDK

Q: Can my OpenAI agents read specific AidaForm responses?

Yes. The agent calls listresponses to grab the IDs, then uses getresponse to pull the exact submission details. Handoffs let you pass that data to a specialized analysis agent immediately.

Q: Does the AidaForm MCP Server support workspace navigation?

Yes. Agents call listworkspaces to map out your account structure. They organize forms by department or client without hardcoding folder IDs into your system prompts.

Connect the AidaForm MCP Server to the OpenAI Agents SDK and let your production agents manage surveys with built-in execution guardrails.

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Connect AidaForm MCP to OpenAI Agents SDK

Create your Vinkius account to connect AidaForm to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AidaForm with OpenAI Agents SDK

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Programmatic Form Creation via MCP Server

The `create_form` and `update_form` tools let your OpenAI agents build and modify surveys on the fly. You define the safety constraints in your agent system, ensuring that user-facing questionnaires follow strict brand guidelines before the API call fires. Handoffs work perfectly here. A specialized drafting agent writes the questions, while a separate deployment agent calls `list_workspaces` to find the correct folder and pushes the live form. Everything gets logged in your OpenAI dashboard for full tracing.

Read and Export Survey Responses

The `get_response` and `export_responses` tools give your agents direct access to incoming form data. Instead of writing custom polling scripts, your agent drops these functions into its toolset and pulls structured answers exactly when needed. You can route this data straight into your backend systems. Since the OpenAI Agents SDK validates actions before execution, you never have to worry about a rogue agent pulling thousands of records blindly. It checks the `get_form_analytics` data, sees the completion rate, and acts accordingly.

Automated Workspace Cleanup

Tools like `delete_form` and `delete_response` allow your agent to handle data retention policies automatically. Your OpenAI system can run a scheduled job that identifies old, inactive surveys and removes them from AidaForm without human intervention. Before pulling the trigger, the agent uses `check_aidaform_status` to ensure the API is reachable. Built-in guardrails mean you can require a human-in-the-loop approval step before the final deletion command executes, keeping your production environment safe.

Setup guide

Set up AidaForm MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all AidaForm tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives AidaForm tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate AidaForm tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="AidaForm Agent",
            instructions="You have access to AidaForm tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about AidaForm MCP in OpenAI Agents SDK

Use MCPServerStreamableHttp pointing to your Vinkius endpoint token. Pass it to your Agent constructor via the mcp_servers parameter and set cacheToolsList=True for faster cold starts.

Yes. The agent calls list_responses to grab the IDs, then uses get_response to pull the exact submission details. Handoffs let you pass that data to a specialized analysis agent immediately.

The SDK auto-discovers the tools and provides built-in execution guardrails. You get full tracing in your OpenAI dashboard out of the box, which matters when you run agents in production.

Yes. Agents call list_workspaces to map out your account structure. They organize forms by department or client without hardcoding folder IDs into your system prompts.

We run the server inside an ephemeral V8 Isolate sandbox. When your agent pulls user contact info, the connection dies immediately after the request finishes. Zero-trust architecture means no data sticks around on our infrastructure.

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